Member of Technical Staff - GPU Infrastructure

WHO WE ARE Join us in putting the world’s compute behind the people building what comes next. At Hyperbolic, we’re making global AI compute liquid. We bring fragmented, heterogeneous GPU capacity together into one unified, productive platform, making it easier to access, sell, resell, manage, and orchestrate the resources that power AI. For neocloud, we turn GPU capacity into productive infrastructure that delivers lasting value and accelerate their time to market. We believe bold ideas deserve the computing power to become reality. We’re building toward a future where compute flows as freely as electricity, available when and where it’s needed, so builders everywhere can turn their most ambitious ideas into breakthroughs. We’re looking for curious, driven people who take ownership, challenge assumptions, and care deeply about what they build. If you’re energized by hard problems and want to help shape how the world accesses AI, we’d love to build with you. ABOUT THE ROLE We're seeking a very senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution. This is a foundational role where you'll be responsible for transforming raw GPUs from diverse global suppliers into a programmable, orchestrated pool that serves thousands of AI developers and researchers. You'll work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers. WHO YOU ARE - Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows - Deep understanding of GPU scheduling and orchestration, including GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization - Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration management, and observability stack implementation - Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints - Proficiency with API design and cloud-init for automated provisioning and configuration - Solid understanding of GPU architecture, CUDA, and GPU compute optimization - Highly collaborative team player with excellent communication skills across technical and non-technical stakeholders - Proven ability to work effectively with hardware vendors and vendor engineering teams to troubleshoot issues and optimize integrations - Experience building and scaling cloud infrastructure or distributed systems in production environments PREFERRED QUALIFICATIONS - Familiarity with high-performance networking technologies such as InfiniBand and RoCE (RDMA over Converged Ethernet) - Experience with distributed storage systems such as Ceph, Weka, or VAST Data Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.